Search - speed particle swarm optimization

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[Special Effects] OPS DL : 0: 多阈值图像分类的粒子群优化算法，采用自然方法来提高优化速度和计算量-Multi-threshold image classification of the particle swarm optimization algorithm, using natural methods to improve the optimization speed and computation
Date : 2026-01-08 Size : 2kb User : baiyilieren
[Special Effects] fangchapso DL : 0: 最大类间方差法是图像分割中一种常用的阈值分割方法, 对于单阈值分割具有显著的效果, 但是对于多阈值分割, 计算复杂度大、耗时较多。本文将粒子群优化算法与最大类间方差法结合, 提出了一种新的图像分割方法, 该方法利用粒子群优化算法的寻优高效性, 并由灰度图像的最大类间方差值作为适应值, 搜索最优分割阈值, 实现图像的多阈值分割。实验结果显示, 新方法大大缩短了寻找最优阈值的时间, 降低了运算复杂度, 提高了图像分割速度, 说明基于粒子群优化算法的图像分割算法是可行的、有效的。-Maximum between-class variance method is a popular image segmentation threshold segmentation method has a significant effect for the single-threshold segmentation, but The multi-threshold segmentation, the computational complexity of large, time-consuming. In this paper, particle swarm optimization combined with maximum between-class variance method, a new image Cut method, the method using particle swarm optimization algorithm optimizing the efficiency of the maximum between-class variance by the gray-scale image as the fitness value, search for the optimal split Threshold, multi-threshold image segmentation. The experimental results show that the new method greatly shorten the time to find the optimal threshold, reducing the computational complexity, to mention The high speed of image segmentation, image segmentation algorithm based on particle swarm optimization algorithm is feasible and effective.
Date : 2026-01-08 Size : 306kb User : 张泰然